Hi everyone,
I’m building a chatbot using Microsoft Copilot Studio integrated with Azure AI Search to extend its knowledge capabilities. The data in Azure AI Search comes from a product spreadsheet that includes SKU numbers and product descriptions.
I’ve configured a semantic configuration where the product description and SKU are defined as content fields. When I connect Azure OpenAI on Your Own Data to this Azure AI Search, I’m able to search for products using their SKU numbers. In that setup, there’s an option to choose which index and semantic configuration to use.
However, when connecting Copilot Studio to Azure AI Search, it only prompts me to select an index—there’s no option to specify which semantic configuration to use. As a result, I’m unable to search for products by SKU number within Copilot Studio.
From my understanding, Copilot Studio has its own built-in semantic configuration, which automatically prioritizes text-based columns (like product descriptions) for semantic search. Therefore, fields such as SKU numbers may not always work for search queries.
If anyone has encountered this issue or knows a workaround, I’d really appreciate your insights!
Thanks,
Jack